Evidence map›Paper›PMID 33068053›Full record

ArticleBritish journal of clinical pharmacology2021

Development of a physiologically based pharmacokinetic (PBPK) population model for Chinese elderly subjects.

Cheng Cui, Jie En Valerie Sia, Siqi Tu, Xiaobei Li, Zhongqi Dong, Zhiheng Yu, Xueting Yao, Oliver Hatley, Haiyan Li, Dongyang Liu

Open access · hybridAbstract read
In one paragraph

Article in British journal of clinical pharmacology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.4field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 32 citations in OpenAlex.

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  13. Physiologically-based pharmacokinetic modeling to predict drug-drug interactions of dabigatran etexilate and rivaroxaban in the Chinese older adults.European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 3 countries.

Cheng CuiDrug Clinical Trial Center, Peking University Third Hospital, Beijing, 100191, China.ORCID 0000-0001-6446-0127
Jie En Valerie SiaDrug Clinical Trial Center, Peking University Third Hospital, Beijing, 100191, China.
Siqi TuDrug Clinical Trial Center, Peking University Third Hospital, Beijing, 100191, China.
Xiaobei LiDrug Clinical Trial Center, Peking University Third Hospital, Beijing, 100191, China.
Zhongqi DongJanssen China R&D Center, Shanghai, 200233, China.
Zhiheng YuDrug Clinical Trial Center, Peking University Third Hospital, Beijing, 100191, China.
Xueting YaoDrug Clinical Trial Center, Peking University Third Hospital, Beijing, 100191, China.
Oliver HatleyCertara UK Ltd, Simcyp Division, Sheffield, S1 2BJ, UK.
Haiyan LiDrug Clinical Trial Center, Peking University Third Hospital, Beijing, 100191, China.ORCID 0000-0002-8286-2813
Dongyang LiuDrug Clinical Trial Center, Peking University Third Hospital, Beijing, 100191, China.
Peking University · CNJanssen (Belgium) · BESimcyp (United Kingdom) · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThis study aims to develop and verify a physiologically based pharmacokinetic (PBPK) population model for the Chinese geriatric population in Simcyp.

methodsFirstly, physiological information for the Chinese geriatric population was collected and later employed to develop the Chinese geriatric population model by recalibration of corresponding physiological parameters in the Chinese adult population model available in Simcyp (i.e., Chinese healthy volunteer model). Secondly, drug-dependent parameters were collected for six drugs with different elimination pathways (i.e., metabolized by CYP1A2, CYP3A4 or renal excretion). The drug models were then developed and verified by clinical data from Chinese adults, Caucasian adults and Caucasian elderly subjects to ensure that drug-dependent parameters are correctly inputted. Finally, the tested drug models in combination with the newly developed Chinese geriatric population model were applied to simulate drug concentration in Chinese elderly subjects. The predicted results were then compared with the observations to evaluate model prediction performance.

resultsNinety-eight per cent of predicted AUC, 95% of predicted C

conclusionThe population model for the Chinese elderly subjects appears to adequately predict the concentration of the drug that was metabolized by CYP1A2, CYP3A4 or eliminated by renal clearance.

Indexed as

Cytochrome P-450 CYP3AModels, BiologicalPharmacokineticsAdultAgedAsian PeopleChinaComputer SimulationCytochrome P-450 CYP1A2HumansWhite PeopleCYP1A2 protein, humanCYP3A protein, humanCytochrome P-450 CYP1A2Cytochrome P-450 CYP3AChinese Geriatric PopulationCYP1A2CYP3A4PBPKRenal Excretion

Identifiers

PMID33068053
PMCPMC8359847
OpenAlexW3093446086

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.